Quoc Khanh Dang

Papers

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About

Quoc Khanh Dang is a robotics researcher whose work focuses on human-robot interaction, autonomous navigation, and vision-based control systems. His key contributions lie in developing intuitive, sensor-driven algorithms that enable mobile robots to perceive and respond to human movement. In his highly cited 2011 paper on human-following robots using infrared cameras—garnering 13 citations—Dang tackled the core challenges of target detection, obstacle avoidance, and real-time control, laying groundwork for robots that can assist in manufacturing and daily life. He further advanced the field with a 2013 study on mobile robot destination generation, where he introduced a novel vision-aided inertial navigation algorithm. By combining a camera and inertial sensors in a remote controller, his system allows robots to track and follow a human operator's movement with improved accuracy and responsiveness. Dang’s work demonstrates a clear trajectory from foundational human-following systems to more sophisticated, sensor-fusion navigation methods. His research continues to influence the development of autonomous robots that work safely and seamlessly alongside people in dynamic environments.